Lakshya Paliwal

AI/ML Engineer | Full-Stack Developer

Jaipur, IN.

About

Highly motivated Computer Science and Engineering student with a strong foundation in AI/Machine Learning, Deep Learning, and Full-Stack Development. Proven ability to build and deploy innovative solutions, including AI-powered financial platforms and NLP systems, leveraging advanced frameworks and cloud technologies. Seeking to apply robust technical skills and a passion for problem-solving in challenging AI/ML or full-stack engineering roles.

Work

Chronocept

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Annotator

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Summary

Contributed to Chronocept, an AI research initiative focused on enhancing machine temporal reasoning by integrating temporal validity into Natural Language Processing (NLP) systems.

Highlights

Annotated over 250 text samples using a structured three-step process (Text Segmentation, Temporal Axis Classification, Temporal Validity Modeling) to enhance temporal reasoning in NLP systems.

Co-developed the Chronocept Dataset, a benchmark dataset specifically designed to advance AI-driven temporal reasoning capabilities in NLP models.

Aided in distinguishing between past, present, and future occurrences with greater accuracy for AI models.

Education

Manipal University Jaipur

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B.Tech Computer Science and Engineering Grade: 8.66/10 CGPA

Courses

Machine Learning

Deep Learning

Data Structures and Algorithms

Data Science

Artificial Intelligence

Statistics and Probability

Computer Organization and Architecture

Advanced Mathematics for Data Science

Linear Algebra for ML

Skills

Programming Languages

Python, C, C++, Java, JavaScript, TypeScript, SQL.

Technologies & Frameworks

React, Node.js, Express.js, FastAPI, Flask, Docker, MLflow, ZenML, Tensorflow, Keras, Hugging Face Transformers, Scikit-learn, LangGraph, LangChain, Jupyter Notebook, Colab, Git, GitHub, VS Code.

Databases

MongoDB, PostgreSQL, Prisma.

Cloud & Platforms

Cloudflare Workers, AWS, Vercel.

Domains & Expertise

Full-Stack Development, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Computer Vision (CV), Data Analysis.

Projects

Finfluenzz

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Summary

An AI-powered gamified finance platform for Gen Z, merging fintech tools with a nostalgic retro arcade experience, leveraging Groq LLM and Gemini AI.

Snippify

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Summary

A full-stack AI-powered snippet management application offering full CRUD operations and customizable public/private settings, built with Hono on Cloudflare Workers for ultra-fast serverless APIs and PostgreSQL.

Smart Property Finder

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Summary

A Model Context Protocol (MCP) server tool integrated with the Puch AI WhatsApp interface for smart property recommendations, utilizing Groq LLM for detailed analysis.